Sorry, this job is no longer accepting applications. See below for more jobs that match what you’re looking for!

Associate Principal Scientist, Computational Scientist

Expired Job

Merck & Co., Inc. Boston , MA 02298

Posted 2 months ago

Requisition ID: RES002107

Merck & Co., Inc. Kenilworth, N.J., U.S.A. known as Merck in the United States and Canada, is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where Merck has codified its legacy for over a century. Merck's success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.

Merck is on a quest for cures and is committed to being the world's premier, most research-intensive biopharmaceutical company. Today, we're doubling down on this goal. Merck Research Laboratories is a true scientific research facility of tomorrow, and will take Merck's leading discovery capabilities and world-class small molecule and biologics R&D expertise to create breakthrough science that radically changes the way we approach serious diseases.

We are seeking a highly motivated and enthusiastic computational scientist to join a team dedicated to advancing Merck's Oncology and Immuno-Oncology pipelines. The successful candidate will:

  • Analyze, visualize and summarize NGS and other molecular data from oncology clinical trials and proprietary and public large molecular databases.

  • Use oncology molecular data to identify biomarkers and molecularly defined groups of patients most likely to benefit from individual therapies, with a focus on translating biomarker-driven strategies into the clinic.

  • Effectively present data analyses to inform and interact with stakeholders representing a wide span of internal organizations, including Therapeutic Area Biology, Pharmacology, Statistics, Translational Medicine, Clinical Development, Commercial and Medical Affairs.



  • A Phd in Engineering, Applied Mathematics, Bioinformatics, Computational Biology or related field with a significant computational and statistical component.

  • A minimum of 5 years of post-PhD experience applying computational methods, in cancer biology, in a pharma, biotech or academic setting, by using scientific computation environments (Matlab and/or R highly preferred).

  • Hands-on analysis experience with large genetic, genomic, and clinical datasets , with proven record of impact on the drug development process.

  • Hands-on experience with key NGS bioinformatics tools (BWA, GATK etc) and with linux high performance environment (shell scripting, python).

  • Experience with a matrix environment and ability to effectively collaborate with colleagues from a wide range of disciplines.


  • Understanding of the major concepts of immuno-oncology biology and of the interaction between tumor and the immune system as represented in molecular data.

  • Experience with analysis of data originating from clinical trials.

  • Working knowledge of methods of statistical learning and application to biological problems.

  • Experience with modern data mining techniques including ANNs.

  • Record of publishing in high profile scientific journals.

Your role at Merck is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Merck, we're inventing for life.

If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to

Search Firm Representatives Please Read Carefully:

Merck & Co., Inc. is not accepting unsolicited assistance from search firms for this employment opportunity. Please, no phone calls or emails. All resumes submitted by search firms to any employee at Merck via email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Merck. No fee will be paid in the event the candidate is hired by Merck as a result of the referral or through other means.

Visa sponsorship is not available for this position.

For more information about personal rights under Equal Employment Opportunity, visit:

EEOC Poster

EEOC GINA Supplement

Job: Research Science Generic

Other Locations:

Employee Status: Regular

Travel: Yes, 10 % of the Time

Number of Openings: 1

Shift (if applicable):

Hazardous Materials: No

Company Trade Name: Merck

Nearest Major Market: Boston

See if you are a match!

See how well your resume matches up to this job - upload your resume now.

Find your dream job anywhere
with the LiveCareer app.
Download the
LiveCareer app and find
your dream job anywhere

Boost your job search productivity with our
free Chrome Extension!

lc_apply_tool GET EXTENSION

Similar Jobs

Want to see jobs matched to your resume? Upload One Now! Remove
Principal Data Scientist (Boston)


Posted 5 days ago

VIEW JOBS 10/18/2018 12:00:00 AM 2019-01-16T00:00 <p>QuantumBlack helps companies use data to drive decisions. We combine business experience, expertise in large-scale data analysis and visualization, and advanced software engineering know-how to deliver results. From aerospace to finance to Formula One, we help companies prototype, develop, and deploy bespoke data science and data visualisation solutions to make better decisions.<br></p><p></p><p><strong>Your Experience</strong></p><p>You will bring an exceptional academic background in a technical field combined with experience in developing and applying data science methods in a business context. You share our curiosity for new methods and technologies, and our enthusiasm for data science challenges. You have a proven track record in building and leading teams of high-caliber data scientists.</p><p><br></p><p><strong>What You'll Do</strong></p><ul> <li>Help to drive the analytical scope and method for projects, including formulating and shaping the models</li> <li>Use Math, Stats and Machine learning to derive key insights across various industry sectors including sports, pharma, automotive and high-tech.</li> <li>Lead the data science aspect of multiple engagements at the same time</li> <li>Work on complex data sets from some of the world’s largest organizations</li> <li>Work in a multi-disciplinary environment mixing highly skilled people in data science, data engineering and design</li> <li>Build strong links with the academic world and constantly share ideas and stay ahead of the curve on the latest methods</li> <li>Help grow and shape an elite team of world-class data scientists</li> </ul><p><strong>Requirements</strong></p><ul> <li>Deep experience in statistical modeling, machine learning and deep learning techniques/frameworks</li> <li>Proven record of applying data science methods to business problems</li> <li>Strong presentation and communication skills, with a knack for explaining complex analytical concepts to people from other disciplines</li> <li>Programming experience in at least 2 of the following language: R, Python, Scala</li> <li>Educated to a PhD level in the field of Computer Science, Machine Learning, Applied Statistics or Mathematics</li> <li>Team leadership, mentoring and project management skills</li> </ul> Quantumblack Boston MA

Associate Principal Scientist, Computational Scientist

Expired Job

Merck & Co., Inc.